45 citations · 93 across the 5 of their papers we have counts for
5 papers
Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology
Tomoki Inoue, Koyo Kubota, Tsubasa Ikami +5
Time-series clustering serves as a powerful data mining technique for time-series data in the absence of prior knowledge about clusters. A large amount of time-series data with lar…
Invariant measures for random piecewise convex maps
Tomoki Inoue, Hisayoshi Toyokawa
We show the existence of Lebesgue-equivalent conservative and ergodic -finite invariant measures for a wide class of one-dimensional random maps consisting of piecewise convex m…
Comparison theorems for invariant measures of random dynamical systems
Tomoki Inoue
We study a random dynamical system such that one transformation is randomly selected from a family of transformations and then applied on each iteration. For such random dynamical…
Data-Driven Optimal Sensor Placement for High-Dimensional System Using Annealing Machine
Tomoki Inoue, Tsubasa Ikami, Yasuhiro Egami +4
We propose a novel method for solving optimal sensor placement problem for high-dimensional system using an annealing machine. The sensor points are calculated as a maximum clique…
Data-Driven Approach for Noise Reduction in Pressure-Sensitive Paint Data Based on Modal Expansion and Time-Series Data at Optimally Placed Points
Tomoki Inoue, Yu Matsuda, Tsubasa Ikami +3
We propose a noise reduction method for unsteady pressure-sensitive paint (PSP) data based on modal expansion, the coefficients of which are determined from time-series data at opt…